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      Oncogenic Role of PVT1 and Therapeutic Implications

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          Abstract

          PVT1, a long non-coding RNA has been implicated in a variety of human cancers. Recent advancements have led to increasing discovery of the critical roles of PVT1 in cancer initiation and progression. Novel insight is emerging about PVT1's mechanism of action in different cancers. Identifying and understanding the variety of activities of PVT1 involved in cancers is a necessity for the development of PVT1 as a diagnostic biomarker or therapeutic target in cancers where PVT1 is dysregulated. PVT1's varied activities include overexpression, modulation of miRNA expression, protein interactions, targeting of regulatory genes, formation of fusion genes, functioning as a competing endogenous RNA (ceRNA), and interactions with MYC, among many others. Furthermore, bioinformatic analysis of PVT1 interactions in cancers has aided understanding of the numerous pathways involved in PVT1 contribution to carcinogenesis in a cancer type—specific manner. However, these recent findings show that there is much more to be learned to be able to fully exploit PVT1 for cancer prognostication and therapy. In this review, we summarize some of the latest findings on PVT1's oncogenic activities, signaling networks and how targeting these networks can be a strategy for cancer therapy.

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          Most cited references65

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          RNA maps reveal new RNA classes and a possible function for pervasive transcription.

          Significant fractions of eukaryotic genomes give rise to RNA, much of which is unannotated and has reduced protein-coding potential. The genomic origins and the associations of human nuclear and cytosolic polyadenylated RNAs longer than 200 nucleotides (nt) and whole-cell RNAs less than 200 nt were investigated in this genome-wide study. Subcellular addresses for nucleotides present in detected RNAs were assigned, and their potential processing into short RNAs was investigated. Taken together, these observations suggest a novel role for some unannotated RNAs as primary transcripts for the production of short RNAs. Three potentially functional classes of RNAs have been identified, two of which are syntenically conserved and correlate with the expression state of protein-coding genes. These data support a highly interleaved organization of the human transcriptome.
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            Induced ncRNAs Allosterically Modify RNA Binding Proteins in cis to Inhibit Transcription

            With the recent recognition of non-coding RNAs (ncRNAs) flanking many genes1-5, a central issue is to fully understand their potential roles in regulated gene transcription programs, possibly through different mechanisms6-12. Here, we report that an RNA-binding protein, TLS, serves as a key transcriptional regulatory sensor of DNA damage signals that, based on its allosteric modulation by RNA, specifically binds to and inhibits CBP/p300 HAT activities on a repressed gene target, cyclin D1 (CCND1). Recruitment of TLS to the CCND1 promoter to cause gene-specific repression is directed by single stranded, low copy number ncRNA transcripts tethered to the 5′ regulatory regions of CCND1 that are induced in response to DNA damage signals. Our data suggest that signal-induced ncRNAs localized to regulatory regions of transcription units can act cooperatively as selective ligands, recruiting and modulating the activities of distinct classes of RNA binding co-regulators in response to specific signals, providing an unexpected ncRNA/RNA-binding protein-based strategy to integrate transcriptional programs.
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              The Genetic Signatures of Noncoding RNAs

              The majority of the genome in animals and plants is transcribed in a developmentally regulated manner to produce large numbers of non–protein-coding RNAs (ncRNAs), whose incidence increases with developmental complexity. There is growing evidence that these transcripts are functional, particularly in the regulation of epigenetic processes, leading to the suggestion that they compose a hitherto hidden layer of genomic programming in humans and other complex organisms. However, to date, very few have been identified in genetic screens. Here I show that this is explicable by an historic emphasis, both phenotypically and technically, on mutations in protein-coding sequences, and by presumptions about the nature of regulatory mutations. Most variations in regulatory sequences produce relatively subtle phenotypic changes, in contrast to mutations in protein-coding sequences that frequently cause catastrophic component failure. Until recently, most mapping projects have focused on protein-coding sequences, and the limited number of identified regulatory mutations have been interpreted as affecting conventional cis-acting promoter and enhancer elements, although these regions are often themselves transcribed. Moreover, ncRNA-directed regulatory circuits underpin most, if not all, complex genetic phenomena in eukaryotes, including RNA interference-related processes such as transcriptional and post-transcriptional gene silencing, position effect variegation, hybrid dysgenesis, chromosome dosage compensation, parental imprinting and allelic exclusion, paramutation, and possibly transvection and transinduction. The next frontier is the identification and functional characterization of the myriad sequence variations that influence quantitative traits, disease susceptibility, and other complex characteristics, which are being shown by genome-wide association studies to lie mostly in noncoding, presumably regulatory, regions. There is every possibility that many of these variations will alter the interactions between regulatory RNAs and their targets, a prospect that should be borne in mind in future functional analyses.
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                Author and article information

                Contributors
                Journal
                Front Oncol
                Front Oncol
                Front. Oncol.
                Frontiers in Oncology
                Frontiers Media S.A.
                2234-943X
                04 February 2020
                2020
                : 10
                : 17
                Affiliations
                Hunter College (CUNY) , New York, NY, United States
                Author notes

                Edited by: Miguel F. Segura, Vall d'Hebron Research Institute (VHIR), Spain

                Reviewed by: Stefano Cagnin, University of Padova, Italy; Pawel Buczkowicz, Gene42, Inc., Canada

                *Correspondence: Olorunseun O. Ogunwobi ogunwobi@ 123456genectr.hunter.cuny.edu

                This article was submitted to Cancer Genetics, a section of the journal Frontiers in Oncology

                Article
                10.3389/fonc.2020.00017
                7010636
                32117705
                064bd666-5d34-40e3-8ac6-0be9ccc9a090
                Copyright © 2020 Onagoruwa, Pal, Ochu and Ogunwobi.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 12 July 2019
                : 07 January 2020
                Page count
                Figures: 4, Tables: 1, Equations: 0, References: 99, Pages: 11, Words: 8490
                Funding
                Funded by: National Institutes of Health 10.13039/100000002
                Categories
                Oncology
                Review

                Oncology & Radiotherapy
                pvt1,oncogene,therapeutic target,cell cycle,molecular signaling
                Oncology & Radiotherapy
                pvt1, oncogene, therapeutic target, cell cycle, molecular signaling

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